This paper explores employee attrition by analyzing a structured dataset from IBM. The dataset includes 1,470 records with both categorical and numerical variables. We focused on key categorical variables like ‘Attrition’, ‘Department’, ‘BusinessTravel’, and ‘JobRole’, along with continuous variables such as ‘MonthlyIncome’ and ‘YearsAtCompany’.
We wanted to find out if workplace and demographic factors are linked to employee turnover. To do this, we performed descriptive analysis and ran statistical tests. We used a two-sample t-test to compare the average Monthly Income and Years at the Company between employees who left and those who stayed. Additionally, we carried out a chi-square test to check the relationship between categorical variables like Attrition and OverTime.
Our preliminary results show that employees who left usually earned less, had shorter tenure, and were more likely to work overtime. These insights highlight the importance of fair pay and strong support during the early years at the company to help retain employees.
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Money, Motivation, and Movement What Drives Employee Attrition
